Ght time (FT) and double integration of vertical reaction force (DIF) methods in the estimation of vertical jump height with the video method (VID) as reference; (b) to verify the degree of agreement among the 3 methods; (c) to propose regression equations to predict the jump height using the FT and DIF. Twenty healthy male and female nonathlete college students participated in this study. The experiment involved positioning a contact mat (CTM) on the force platform (FP), with a video camera 3 m from the FP and perpendicular to the sagittal plane of the subject being assessed. Each participant performed 15 countermovement jumps with 60-second intervals between the trials. Significant differences were found between the jump height obtained by VID and the results with FT (p ≤ 0.01) and DIF (p ≤ 0.01), showing that the methods are not valid. Additionally, the DIF showed a greater degree of agreement with the reference method than the FT did, and both presented a systematic error. From the linear regression test was determined the prediction equations with a high degree of linearity between the methods VID vs. DIF (R2 = 0.988) and VID vs. FT (R2 = 0.979). Therefore, the prediction equations suggested may allow coaches to measure the vertical jump performance of athletes by the FT and DIF, using a CTM or an FP, which represents more practical and viable approaches in the sports field; comparisons can then be made with the results of other athletes evaluated by VID....

Musculoskeletal disorders are prevalent and represent the most common health problem among the working population in industrially-developing countries, with considerable costs and impact on quality of life. Despite the high incidence of disability insurance claims among Brazilian manufacturing-sector workers, only a few studies assessed musculoskeletal disorders prevalence. To provide information on the prevalence of musculoskeletal disorders among manufacturing-sector workers and to explore the relationship between musculoskeletal disorders and sociodemographic and occupational characteristics in a medium metallurgical company located in Brazil. A cross-sectional study was carried out. Data was collected through the use of a specifically-designed questionnaire and the items used to collect musculoskeletal disorders data were based on the Nordic Musculoskeletal Questionnaire. Descriptive statistics were used and multivariate logistic regression analysis (p<0.02) was performed to explore the associations between musculoskeletal disorders and potential risk factors. The upper limb was the most frequently affected body region among manufacturing-sector workers: shoulder (24.8%), elbow and/or forearm (15.5%), wrist and/or hand (19.0%). Adjusted logistic regression analysis showed that company experience (p=0.02), presence of sleep disorders (p=0.00), self-reported general health state (p=0.00) and perform work pause (p=0.00) were significant risk factors for development of musculoskeletal disorders. Sociodemographic and work-related aspects are influential risk factors for musculoskeletal disorders. These results add comprehension about musculoskeletal disorders prevalence and suggest a need for greater emphasis on prevention strategies.

Brazil has the main producers and exporters of chicken meat, which is classified as the third largest world chicken meat producer and lead exporter. This study aimed at analyzing the body discomfort perception in poultry slaughterhouse workers and its associations with the task characteristics. The study included 290 workers, 200 women (34.7±7.7 years) and 90 men (36.8±8.2 years). A body map for evaluating discomfort and an interview regarding organizational issues and criteria of the OCRA method were used. Descriptive statistics and chi-square test (p ≤ 0.05) were used. It was found that 87.6% of respondents performed repetitive tasks, 86.2% performed rest breaks, 82.8% performed job rotation (2–7 tasks) and 61% used tools. It was also found that 67.2% felt discomfort in at least one body region, and the symptoms most often reported were pain, fatigue and tingling. The body regions most frequently cited were: shoulders (62.6%), neck (46.2%), spine (36.4%), forearms (31.3%), arms (29.2%), wrists (25.6%) and hands (25.6%). In sectors artificially cold (n = 204), 54.1% felt cold. There was no association between body discomfort and gender, task characteristics, performance of rest breaks and job rotation, use of tools and time working in the company; however, there was association with cold perception (p = 0.035).

The aim of the present study was to compare the effects of small changes in pedaling cadence (20% higher and lower than the freely chosen) on hip, knee, and ankle mechanical parameters. Right pedal forces and lower limb kinematics of cyclists were measured with workload at 80% of peak power output, for three pedaling cadences (freely chosen cadence – FCC; 20% below the FCC – FCC −20%; and 20% higher than the FCC – FCC +20%). Forces, kinematics and mechanical work were calculated for hip, knee and ankle joints. Knee joint mechanical work decreased at FCC +20% (55 ± 13 J, compared to FCC – 66 ± 11 J and to FCC −20% – 72± 7 J), while the contribution of each joint to the total mechanical work (TMW) was not affected by pedaling cadence. Joint forces were not influenced by pedaling cadence. Ankle joint angle increased (155 ± 3° compared to FCC – 152 ± 2° and to FCC−20%–149 ± 3°), while knee (59 ± 3° compared to FCC – 62 ± 2° and to FCC −20% – 64 ± 1°), and ankle (15 ± 4° compared to FCC – 18 ± 1° and to FCC −20% – 20 ± 2°) range of motion (ROM) decreased at FCC +20%. The effects of pedaling cadence on joint mechanical work and kinematics indicate that the FCC does not minimize joint mechanical work and force production for all lower limb joints. The knee joint tunes the power production by the mechanical work while the ankle function seems to be dependent on joint kinematics when pedaling cadence is increased.

This study analyzed the finger temperatures of poultry slaughterhouse workers and its association with personal and organizational variables, bodily discomfort perception, and cold thermal sensation. The study included 143 poultry slaughterhouse workers. A thermograph was used to measure finger temperature and an interview to collect worker data. There were two groups: workers who used a tool and those without. The binary logistic regression, Friedman and Wilcoxon tests were used (p ≤ 0.05). Most workers presented at least one finger with an average temperature ≤15 °C (66.4%) and ≤24 °C (99.3%), perceived their cold hands, and wore three overlapping gloves (57.3%). There were no associations between finger temperatures (≤15 °C) and the analyzed variables. The chance of feeling cold for a worker who used a tool was greater than for a worker who did not (OR = 3.19, 95% CI 1.46; 6.94). There was a difference between the finger temperatures of each hand on both surfaces and the analyzed groups (p < 0.01). The temperature of each finger with its respective contralateral was different in the little fingers (no tool), index, middle, ring, and little fingers (using a tool) (p < 0.05). The use of several overlapping gloves was not sufficient to promote thermal insulation of the hands.